AIMC Topic: Female

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BreaCNet: A high-accuracy breast thermogram classifier based on mobile convolutional neural network.

Mathematical biosciences and engineering : MBE Dec 3, 2021
The presence of a well-trained, mobile CNN model with a high accuracy rate is imperative to build a mobile-based early breast cancer detector. In this study, we propose a mobile neural network model breast cancer mobile network (BreaCNet) and its imp...
Computer Simulation Humans Female Breast Neoplasms Breast Neural Networks, Computer Algorithms
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A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure.

Nature communications Dec 3, 2021
Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial Network), a semi-supervised deep-clustering method, which examines neuroanatomical...
Healthy Volunteers Neuroimaging Magnetic Resonance Imaging Cluster Analysis Alzheimer Disease Aged, 80 and over Male Middle Aged Case-Control Studies Deep Learning Cognitive Dysfunction Image Processing, Computer-Assisted Longitudinal Studies Humans Brain Female Aged
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Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.

Future oncology (London, England) Dec 2, 2021
This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Based on the survival-related representation features yielded by BiDNNs through integrating tr...
Male Middle Aged Risk Assessment RNA-Seq Female Aged Stomach Neoplasms Biomarkers, Tumor Unsupervised Machine Learning Datasets as Topic Kaplan-Meier Estimate Epigenomics Follow-Up Studies DNA Methylation Cluster Analysis Humans
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Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery.

Genes Dec 2, 2021
OBJECTIVES: Dilated cardiomyopathy (DCM) is characterized by a specific transcriptome. Since the DCM molecular network is largely unknown, the aim was to identify specific disease-related molecular targets combining an original machine learning (ML) ...
Humans Machine Learning Biomarkers Sequence Analysis, RNA Female Cardiomyopathy, Dilated Transcriptome Case-Control Studies Protein Interaction Maps Adult Computational Biology Male Middle Aged Severity of Illness Index
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Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.

BMJ open Dec 2, 2021
OBJECTIVES: We aimed at identifying the important variables for labour induction intervention and assessing the predictive performance of machine learning algorithms.
Retrospective Studies Pregnancy Female Tertiary Care Centers Registries Labor, Induced Tanzania Humans Machine Learning
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Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography.

Japanese journal of radiology Dec 1, 2021
PURPOSE: The purpose of this study was to evaluate whether deep learning reconstruction (DLR) improves the image quality of intracranial magnetic resonance angiography (MRA) at 1.5 T.
Signal-To-Noise Ratio Magnetic Resonance Angiography Male Middle Aged Deep Learning Artifacts Humans Retrospective Studies Female Aged
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Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

JAMA network open Dec 1, 2021
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functi...
Cohort Studies Glomerular Filtration Rate Decision Making Patient-Specific Modeling Humans Reproducibility of Results Forecasting Male Kidney Transplantation Middle Aged Female Deep Learning
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Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

JAMA network open Dec 1, 2021
IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.
Risk Factors Aged Sensitivity and Specificity Male Risk Assessment Disease Progression Cognitive Dysfunction Dementia Machine Learning Prospective Studies Prognosis Female Incidence Humans United States Predictive Value of Tests Area Under Curve
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Artificial intelligence-based automatic assessment of lower limb torsion on MRI.

Scientific reports Dec 1, 2021
Abnormal torsion of the lower limbs may adversely affect joint health. This study developed and validated a deep learning-based method for automatic measurement of femoral and tibial torsion on MRI. Axial T2-weighted sequences acquired of the hips, k...
Humans Child Magnetic Resonance Imaging Torsion Abnormality Lower Extremity Deformities, Congenital Adult Male Neural Networks, Computer Adolescent Child, Preschool Artificial Intelligence Algorithms Female
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Fully automatic segmentation of the mandible based on convolutional neural networks (CNNs).

Orthodontics & craniofacial research Dec 1, 2021
OBJECTIVES: To evaluate the accuracy of automatic deep learning-based method for fully automatic segmentation of the mandible from CBCTs.
Humans Neural Networks, Computer Adult Male Mandible Image Processing, Computer-Assisted Artificial Intelligence Female Reproducibility of Results Young Adult
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